Random parameter pruning during targeted attack optimization on surrogate models yields up to 11.7% higher average attack success rates when transferring to Transformer targets.
Efficientnet: Rethinking model scaling for convolutional neural networks
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RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning
Random parameter pruning during targeted attack optimization on surrogate models yields up to 11.7% higher average attack success rates when transferring to Transformer targets.